| Literature DB >> 28493860 |
Stephen W Patrick, Audrey M Bauer, Michael D Warren, Timothy F Jones, Carolyn Wester.
Abstract
Hepatitis C virus (HCV) affects an estimated 3.5 million persons in the United States (1), making it the most common bloodborne infection in the country. Recent surveillance data showed increased rates of HCV infection among adolescents and adults who are predominantly white, live in nonurban areas, and have a history of injection drug use.* U.S. birth certificate data were used to analyze trends and geographic variations in rates of HCV infection among women giving birth during 2009-2014. Birth certificates from Tennessee were used to examine individual characteristics and outcomes associated with HCV infection, using a multivariable model to calculate adjusted odds of HCV-related diagnosis in pregnancy among women with live births. During 2009-2014, HCV infection present at the time of delivery among pregnant women from states reporting HCV on the birth certificate increased 89%, from 1.8 to 3.4 per 1,000 live births. The highest infection rate in 2014 (22.6 per 1,000 live births) was in West Virginia; the rate in Tennessee was 10.1. In adjusted analyses of Tennessee births, the odds of HCV infection were approximately threefold higher among women residing in rural counties than among those in large urban counties, 4.5-fold higher among women who smoked cigarettes during pregnancy, and nearly 17-fold higher among women with concurrent hepatitis B virus (HBV) infection. HCV infection among pregnant women is an increasing and potentially modifiable threat to maternal and child health. Clinicians and public health officials should consider individual and population-level opportunities for prevention and risk mitigation.Entities:
Mesh:
Year: 2017 PMID: 28493860 PMCID: PMC5657980 DOI: 10.15585/mmwr.mm6618a3
Source DB: PubMed Journal: MMWR Morb Mortal Wkly Rep ISSN: 0149-2195 Impact factor: 17.586
FIGURE 1Rate of hepatitis C infection among pregnant women per 1,000 live births, by state — United States, 2014
FIGURE 2Rate of hepatitis C infection among pregnant women per 1,000 live births, by county — Tennessee, 2014
Adjusted maternal characteristics associated with hepatitis C infection at the time of birth — Tennessee, 2009–2014
| Characteristic | Adjusted odds ratio (95% CI) |
|---|---|
|
| |
| Older age | 1.05 (1.04–1.06) |
| High school graduate or less | 1.90 (1.74–2.08) |
| Unmarried | 2.12 (1.95–2.31) |
|
| |
| White, non-Hispanic | referent |
| Black, non-Hispanic | 0.23 (0.19–0.27) |
| Hispanic | 0.33 (0.26–0.41) |
| Other | 0.61 (0.43–0.87) |
|
| |
| Large central metro | referent |
| Large fringe metro | 1.21 (0.99–1.48) |
| Medium metro | 4.38 (3.72–5.15) |
| Small metro | 4.65 (3.88–5.56) |
| Micropolitan | 3.05 (2.56–3.64) |
| Noncore | 3.07 (2.55–3.69) |
|
| |
| One or more previous pregnancies | 1.58 (1.44–1.74) |
| Late or no prenantal care | 1.74 (1.61–1.88) |
| Smoked during pregnancy | 4.49 (4.13–4.89) |
|
| |
| Chlamydia | 1.35 (1.13–1.61) |
| Gonorrhea | 1.67 (1.13–2.48) |
| Syphilis | 1.57 (0.72–3.43) |
| Herpes simplex virus | 1.96 (1.74–2.21) |
| Hepatitis B | 16.60 (12.70–21.68) |
Abbreviation: CI = confidence interval.
* Maternal residence county was classified using the 2013 National Center for Health Statistics Urban–Rural Classification Scheme. Large central metro = Counties in metropolitan statistical areas of ≥1 million population that 1) contain the entire population of the largest principal city of the metropolitan statistical area (MSA), or 2) have their entire population contained in the largest principal city of the MSA, or 3) contain at least 250,000 inhabitants of any principal city of the MSA. Large fringe metro = Counties in MSAs of ≥1 million population that did not qualify as large central metro counties. Medium metro = Counties in MSAs with populations of 250,000–999,999. Small metro = Counties in MSAs with populations of <250,000. Micropolitan = Counties in micropolitan statistical areas with populations of 10,000–49,999. Noncore = Nonmetropolitan counties that did not qualify as micropolitan.
† A multivariable logistic regression model was fit to the data to determine increased odds of HCV infection in pregnancy, simultaneously adjusting for maternal age, education, marital status, race/ethnicity, county of residence, number of previous pregnancies, late or no prenatal care, smoking during pregnancy, and other infections present at delivery, including chlamydia, gonorrhea, syphilis, herpes simplex virus and hepatitis B virus infection.